Name
Title | ||
|---|---|---|
A method for root cause analysis with a Bayesian belief network and fuzzy cognitive map. |
Abstract | ||
|---|---|---|
•We verify experimentally the accuracy of learning BBN causal model from data.•We demonstrate the effectiveness of root cause analysis using BBN.•We formulate a method for migrating BBN to FCM.•We show the intuitiveness of causal knowledge model represented using FCM. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.eswa.2014.06.037 | Expert Systems with Applications |
Keywords | Field | DocType |
Root cause analysis,Fuzzy cognitive map,Bayesian belief network,Causal knowledge,Soft computing,Causal reasoning | Data mining,Causal reasoning,Computer science,Inference,Fuzzy cognitive map,Root cause analysis,Bayesian network,Artificial intelligence,Root cause,Machine learning,Conditional probability table,Causal model | Journal |
Volume | Issue | ISSN |
42 | 1 | 0957-4174 |
Citations | PageRank | References |
11 | 0.59 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yit Yin Wee | 1 | 11 | 2.28 |
| Wooi Ping Cheah | 2 | 36 | 8.03 |
| Shing Chiang Tan | 3 | 26 | 1.22 |
| Kuokkwee Wee | 4 | 27 | 4.56 |